use super::malines::ma::LSMAv;
use super::malines::ma::MA;
use super::security::Market;
use super::security::SecurityType;
use super::tick::Tick;
use super::FudaThing;
use anyhow::anyhow;
use anyhow::Error;
use anyhow::Result;
use chrono::DateTime;
use chrono::Local;
use chrono::NaiveDate;
use chrono::Utc;
use derive_more::Display;
use log::trace;
use serde::Deserialize;
use serde::Serialize;
use std::str::FromStr;
use surrealdb::sql::Thing;
use ts_rs::TS;
use yata::core::ValueType;

use super::indicators::adx::ADX;
use super::indicators::aroon::AROON;
use super::indicators::aso::ASO;
use super::indicators::boll::BOLL;
use super::indicators::cci::CCI;
use super::indicators::cko::CKO;
use super::indicators::cks::CKS;
use super::indicators::cmf::CMF;
use super::indicators::cmo::CMO;
use super::indicators::cpc::CPC;
use super::indicators::dcc::DCC;
use super::indicators::dpo::DPO;
use super::indicators::efi::EFI;
use super::indicators::eom::EOM;
use super::indicators::evl::EVL;
use super::indicators::ftf::FTF;
use super::indicators::hma::HMA;
use super::indicators::ikc::IKC;
use super::indicators::kama::KAMA;
use super::indicators::kdj::KDJ;
use super::indicators::knc::KNC;
use super::indicators::kst::KST;
use super::indicators::kvo::KVO;
use super::indicators::macd::MACD;
use super::indicators::mfi::MFI;
use super::indicators::mti::MTI;
use super::indicators::pcs::PCS;
use super::indicators::prs::PRS;
use super::indicators::rsi::RSI;
use super::indicators::rvi::RVI;
use super::indicators::sar::SAR;
use super::indicators::sei::SEI;
use super::indicators::tdsi::TDSI;
use super::indicators::trix::TRIX;
use super::indicators::trsi::TRSI;
use super::indicators::wcci::WCCI;
use super::point::Point;
use chrono::Timelike;
use chrono::Datelike;
use crate::round2;

pub const KLINE_COMMON_FIELDS: Option<&str> = Some(
    "id, security_id, klt, klts, open, high, low, close, volume"
);

#[derive(Debug, Serialize, Deserialize, Default, TS, Clone)]
#[ts(export)]
pub struct KlineTrendLine {
    /// 唯一标识符，由security_id.klt.klts 组成唯一标识 e.g. SH.STOCK.600519.5.1709093447762 5分钟K线
    #[ts(as = "Option<FudaThing>")]
    pub id: Option<Thing>,

    /// 周期类型 Kline Type ,参见[Klt]
    pub klt: Klt,

    /// 趋势线名称
    pub name: String,

    /// 趋势线描述
    pub desc: Option<String>,

    /// 最新的Kline对应的端点
    pub latest_point: Option<Point>,

    /// 人工选择第一个点Kline
    pub man_point1: Option<Point>,

    /// 人工选择第二个点Kline
    pub man_point2: Option<Point>,

    /// 最老的Kline对应的端点
    pub oldest_point: Option<Point>,

    /// 具体来说，如果一个直线方程是
    /// 𝑦 = 𝑚 𝑥 + 𝑏 ，当你将 𝑥 = 0 代入时（即考虑直线与 y 轴相交的情况），得到的 𝑦 值就是 𝑏 。
    /// 因此， 𝑏  直接决定了这条直线在 y 轴上的位置。
    /// 趋势线斜率， computed by Klines of the two points[kline_id1, kline_id2]
    pub slope: ValueType,
    /// 趋势线截距， computed by Klines of the two points[kline_id1, kline_id2]
    pub intercept: ValueType,
}

///
/// 指定证券的K线数据
///
/// K线图（Candlestick Chart）是一种常用的金融图表，用于展示特定时间段内的价格变动情况。
/// 一个K线通常包含四个价格点：开盘价（Open）、最高价（High）、最低价（Low）和收盘价（Close）。
/// 有时候，K线还会包含成交量(Volume) 信息。通常用于盘后分析 OHLCV 数据。
///
/// 由于Kline的字段较多，不能通过TS宏导出，过多字段导致导致TS宏导出失败：error[E0275]:
/// overflow evaluating the requirement `impl TypeList well-formed`
///
#[derive(Debug, Serialize, Deserialize, Default, TS, Clone)]
#[ts(export)]
pub struct Kline {
    /// 唯一标识符，由security_id.klt.klts 组成唯一标识 e.g. SH.STOCK.600519.5.1709093447762 5分钟K线
    #[ts(as = "Option<FudaThing>")]
    pub id: Option<Thing>,

    /// K线的所有者Security, Record Link, Primary Key
    pub security_id: String,
    /// 周期类型 Kline Type ,参见[Klt], Primary Key
    pub klt: Klt,
    /// K线周期的开始时间, Primary Key
    pub klts: DateTime<Utc>,

    /// OHLCV开盘价
    pub open: f64,
    /// OHLCV最高价
    pub high: f64,
    /// OHLCV最低价
    pub low: f64,
    /// OHLCV收盘价
    pub close: f64,
    /// OHLCV成交量
    pub volume: u64,
    ///成交额，
    pub value: f64,
    ///振幅，
    pub amplitude: f64,
    ///涨跌幅，负数表示下跌
    pub frate: f64,
    ///涨跌额，
    pub famount: f64,
    //换手率
    pub trate: f64,
    ///
    /// 记录更新日期 HLC
    #[ts(as = "Option<String>")]
    pub last_updated: Option<String>,
}

/// KlineValley
///
#[derive(Debug, Serialize, Deserialize, Default, TS, Clone)]
#[ts(export)]
pub struct KlineValley {
    /// 唯一标识符，由security_id.klt.klts 组成唯一标识 e.g. SH.STOCK.600519.5.1709093447762 5分钟K线
    #[ts(as = "Option<FudaThing>")]
    pub id: Option<Thing>,
    /// 最左边Kline
    pub left_most: Kline,
    /// 左边最高点
    pub left_highest: Kline,
    /// 左边跌幅
    pub left_percent: f64,
    /// 左边斜率，角度
    pub left_slope: f64,
    pub lowest: Kline,
    /// 最右边Kline
    pub right_most: Kline,
    /// 右边最高点
    pub right_highest: Kline,
    /// 右边涨幅
    pub right_percent: f64,
    /// 右边斜率,角度
    pub right_slope: f64,
    /// 是否支撑位, 跌穿后设为阻力位
    pub is_support: bool,
}
impl KlineValley {
    pub fn id_from(kline_id: &str) -> String {
        format!("{}", kline_id)
    }

    pub fn id_raw(&self) -> String {
        let id = self.id.clone().unwrap();
        id.id.to_raw()
    }
}
/// A wrapper around Vec<Kline> to implement Into<zenoh::value::Value>
#[derive(Debug, Serialize, Deserialize)]
pub struct KlineList(pub Vec<Kline>);

impl From<Vec<Kline>> for KlineList {
    fn from(vec: Vec<Kline>) -> Self {
        KlineList(vec)
    }
}

impl Into<zenoh::value::Value> for KlineList {
    fn into(self) -> zenoh::value::Value {
        match serde_json::to_vec(&self.0) {
            Ok(bytes) => zenoh::value::Value::from(bytes),
            Err(e) => panic!("Failed to serialize KlineList to JSON: {}", e),
        }
    }
}

impl TryFrom<&zenoh::value::Value> for KlineList {
    type Error = Error;

    fn try_from(value: &zenoh::value::Value) -> Result<Self, Self::Error> {
        let payload = &value.payload;
        let mut bytes = Vec::new();

        for slice in payload.zslices() {
            bytes.extend_from_slice(slice);
        }

        let deserialized: Result<Vec<Kline>, _> = serde_json::from_slice(&bytes);
        deserialized.map(KlineList).map_err(Into::into)
    }
}

#[derive(Debug, Serialize, Deserialize, Default, TS, Clone)]
#[ts(export)]
pub struct KlineIndicator {
    /// 唯一标识符，由security_id.klt.klts 组成唯一标识 e.g. SH.STOCK.600519.5.1709093447762 5分钟K线
    /// same as kline.id
    #[ts(as = "Option<FudaThing>")]
    pub id: Option<Thing>,

    /// Indicator Summary Score，根据指标买卖不的信号及相应值得的情况，按照权重计算后总分数
    pub idc_score: Option<f64>,

    /// indicators
    /// adx
    pub adx: Option<ADX>,
    /// aroon
    pub aroon: Option<AROON>,
    ///aso
    pub aso: Option<ASO>,
    /// BOLL (布林线) indicator 布林线
    pub boll: Option<BOLL>,
    /// cci
    pub cci: Option<CCI>,
    /// cko
    pub cko: Option<CKO>,
    /// cks
    pub cks: Option<CKS>,
    /// CMF ( Chaikin Money Flow) indicator 考夫曼资金流量指标
    pub cmf: Option<CMF>,
    /// cmo
    pub cmo: Option<CMO>,
    /// cpc
    pub cpc: Option<CPC>,
    /// dcc
    pub dcc: Option<DCC>,
    /// dpo
    pub dpo: Option<DPO>,
    /// efi
    pub efi: Option<EFI>,
    /// eom
    pub eom: Option<EOM>,
    /// evl
    pub evl: Option<EVL>,
    /// ftf
    pub ftf: Option<FTF>,
    /// hma
    pub hma: Option<HMA>,
    /// ikc
    pub ikc: Option<IKC>,
    /// kama
    pub kama: Option<KAMA>,
    /// KDJ (随机指标) indicator 随机振荡器
    pub kdj: Option<KDJ>,
    /// krc
    pub knc: Option<KNC>,
    /// kst
    pub kst: Option<KST>,
    /// KVO (Keltner Volatility Oscillator) indicator Keltner通道波动指标
    pub kvo: Option<KVO>,

    /// MACD指标是“Moving Average Convergence Divergence”的缩写，中文名为“移动平均收敛/发散”，是一种常用的技术分析工具，用于分析股票价格趋势、动量和反转点。
    pub macd: Option<MACD>,
    /// MFI指标是Money Flow Index的缩写，中文名为“资金流量指标”，是一种用于判断市场买卖意愿的指标。
    pub mfi: Option<MFI>,
    /// mti
    pub mti: Option<MTI>,
    /// pcs
    pub pcs: Option<PCS>,
    /// prs
    pub prs: Option<PRS>,
    /// RSI (Relative Strength Index) indicator 相对强弱指数
    pub rsi: Option<RSI>,
    /// rvi
    pub rvi: Option<RVI>,
    /// SAR (Stochastic Oscillator) indicator 随机振荡器
    pub sar: Option<SAR>,
    /// sei
    pub sei: Option<SEI>,
    /// tdsi
    pub tdsi: Option<TDSI>,
    /// Triple Exponential Moving Average (TRIX)
    pub trix: Option<TRIX>,
    /// trsi
    pub trsi: Option<TRSI>,
    /// wcci
    pub wcci: Option<WCCI>,

    /// 记录更新日期 HLC
    pub last_updated: Option<String>,
}

impl KlineIndicator {
    pub fn id_from(kline_id: &Thing) -> String {
        return format!("{}", kline_id.id.to_raw());
    }

    pub fn id_from2(kline_id: &Thing) -> Thing {
        return Thing::from(("kline_indicator", format!("{}", kline_id.id.to_raw()).as_str()));
    }
}

#[derive(Debug, Serialize, Deserialize, Default, TS, Clone)]
#[ts(export)]
pub struct KlineMaline {
    /// 唯一标识符，由security_id.klt.klts 组成唯一标识 e.g. SH.STOCK.600519.5.1709093447762 5分钟K线
    /// same as kline.id
    #[ts(as = "Option<FudaThing>")]
    pub id: Option<Thing>,

    // <malines> : 移动平均线
    ///DEMA Double Exponential Moving Average of specified length for timeseries of type ValueType
    pub dema: Option<MA<f64>>,
    /// DMA	Simple shortcut for EMA over EMA
    pub dma: Option<MA<f64>>,
    /// 指数移动平均线 Exponential Moving Average of specified length for timeseries of type f64
    pub ema: Option<MA<f64>>,
    /// HMA	Hull Moving Average for last length values for timeseries of type ValueType
    pub hma: Option<MA<f64>>,
    /// lsma 使用Close(默认)线性回归趋势线
    pub lsma: Option<MA<LSMAv>>,
    /// lsma 使用Volume计算的线性回归趋势线,
    pub lsmav: Option<MA<LSMAv>>,
    /// Running Moving Average (RMA);
    pub rma: Option<MA<f64>>,
    /// 简单移动平均线
    pub sma: Option<MA<f64>>,
    /// Simple moving median (SMM);
    pub smm: Option<MA<f64>>,
    /// Symmetrically weighted moving average (SWMA);
    pub swma: Option<MA<f64>>,
    /// Triple Exponential Moving Average of specified length for timeseries of type ValueType
    pub tema: Option<MA<f64>>,
    /// Simple shortcut for EMA over EMA over EMA (or EMA over DMA, or DMA over EMA)
    pub tma: Option<MA<f64>>,
    /// Triangular Moving Average (TRIMA);
    pub trima: Option<MA<f64>>,
    /// Convolution Moving Average;
    /// Variable Index Dynamic Average (Vidya);
    pub vidya: Option<MA<f64>>,
    /// Volume weighted moving average (VWMA);
    pub vwma: Option<MA<f64>>,
    /// Weighted moving average (WMA);
    pub wma: Option<MA<f64>>,
    // </malines> : 移动平均线
}

impl KlineMaline {
    pub fn id_from(kline_id: &Thing) -> String {
        return format!("{}", kline_id.id.to_raw());
    }

    pub fn id_from2(kline_id: &Thing) -> Thing {
        return Thing::from(("kline_maline", format!("{}", kline_id.id.to_raw()).as_str()));
    }
}
impl Kline {
    /**
     * 获取K线记录的ID
     *
     * @param market: 市场
     * @param type_: 证券类型
     * @param symbol: 证券代码
     * @param klt: K线类型,如5分钟K线
     * @param klts: K线日期时间
     * @return: K线记录的ID
     */
    pub fn id_from(security_id: &str, klt: &Klt, klts: &DateTime<Utc>) -> String {
        // 最小都是1分钟级别的kline
        let mut format_pattern = "%Y%m%d%H%M";
        if matches!(klt, Klt::DAY | Klt::WEEK) {
            format_pattern = "%Y%m%d";
        } else if matches!(klt, Klt::MONTH) {
            format_pattern = "%Y%m";
        }
        let formatted_time = klts.format(format_pattern).to_string();

        format!("{security_id}.{klt}.{formatted_time}")
    }

    pub fn id_raw(&self) -> String {
        let id = self.id.clone().unwrap();
        id.id.to_raw()
    }

    pub fn id_date(&self) -> String {
        let input = self.id_raw();

        let parts: Vec<&str> = input.split('.').collect();
        let date_part = parts.last().unwrap_or(&"").to_string();
        date_part
    }

    pub fn ohlcv(&self) -> Ohlcv {
        Ohlcv {
            o: round2(self.open),
            h: round2(self.high),
            l: round2(self.low),
            c: round2(self.close),
            v: self.volume,
            value: round2(self.value),
            amplitude: round2(self.amplitude),
            frate: round2(self.frate),
            famount: round2(self.famount),
            trate: round2(self.trate),
        }
    }

    pub fn klv(&self) -> Klv {
        Klv {
            klts: self.klts.clone(),
            ohlcv: self.ohlcv(),
        }
    }

    /// 判断当前 Kline 是否从低点反弹超过指定阈值
    /// threshold,反弹阀值，如3.0，表示反弹3%
    pub fn is_rebound(&self, threshold: f64) -> bool {
        if self.low == 0.0 {
            // 如果最低价为0，无法计算反弹比例
            return false;
        }

        let rebound_ratio = ((self.close - self.low) / self.low) * 100.0;
        rebound_ratio >= threshold
    }

    /// 判断当前 Kline 是否从高点回落超过指定阈值
    /// threshold,回落阀值，如3.0，表示回落3%
    pub fn is_pulled_back(&self, threshold: f64) -> bool {
        if self.high == 0.0 {
            // 如果最高价为0，无法计算回落比例
            return false;
        }

        let pullback_ratio = ((self.high - self.close) / self.high) * 100.0;
        pullback_ratio >= threshold
    }

    /// 判断是否单日反转K
    /// thresholds<min,max>
    pub fn is_day_reverse(&self, min: f64, max: f64) -> bool {
        let low_shadow = self.close.min(self.open) - self.low;
        let body = (self.open - self.close).abs();
        let ratio = low_shadow / body;

        if min < ratio && ratio < max {
            return true;
        } else {
            return false;
        }
    }

    /// 判断是否缠论包含关系
    pub fn is_included(&self, high: f64, low: f64) -> bool {
        let result = if self.high < high && self.low > low {
            true
        } else if high < self.high && low > self.low {
            true
        } else {
            false
        };

        return result;
    }

    /// 判断是否缠论
    /// 假设，第 n 根 K 线满足第 n 根与第 n+1 根的包含关系，而第 n 根与第 n-1 根不是包含关系，那么
    /// 如果 gn>=gn-1，那么称第 n-1、n、n+1 根 K 线是向上的；如果 dn<=dn-1，那么称第 n-1、n、n+1
    /// 根 K 线是向下的。
    pub fn is_up(&self, high: f64, low: f64) -> Option<bool> {
        let result = if !self.is_included(high, low) && self.high > high {
            Some(true)
        } else if !self.is_included(high, low) && self.low < low {
            Some(false)
        } else {
            None
        };

        return result;
    }
    pub fn new(id: &str, high: f64, low: f64) -> Kline {
        Kline {
            id: Some(Thing::from(("kline", id.to_string().as_str()))),
            high: high,
            low: low,
            ..Default::default()
        }
    }
}

#[derive(Debug, Serialize, Deserialize, Default, TS, Clone, Copy)]
#[ts(export)]
pub struct Klv {
    pub klts: DateTime<Utc>,
    /// ohlcv
    pub ohlcv: Ohlcv,
}

#[derive(Debug, Serialize, Deserialize, Default, TS, Clone, Copy)]
#[ts(export)]
pub struct Ohlcv {
    /// OHLCV开盘价
    pub o: f64,
    /// OHLCV收盘价
    pub c: f64,
    /// OHLCV最高价
    pub h: f64,
    /// OHLCV最低价
    pub l: f64,
    /// OHLCV成交量
    pub v: u64,

    ///成交额，
    pub value: f64,
    ///振幅，
    pub amplitude: f64,
    ///涨跌幅，
    pub frate: f64,
    ///涨跌额，
    pub famount: f64,
    //换手率
    pub trate: f64,
}

impl Ohlcv {
    // 计算下引线幅度比率
    pub fn lower_wick_ratio(&self) -> f64 {
        if self.h == self.l {
            // 当最高价和最低价相同时，返回 0 （或者可以根据需要返回其他值）
            0.0
        } else {
            let body_low = self.o.min(self.c);
            let ratio = (body_low - self.l) / (self.h - self.l);
            // println!("{:?} ratio= ({} - {})/({} - {})", self, body_low, self.l, self.h, self.l);
            round2(ratio)
        }
    }

    // 计算实体比率
    pub fn body_ratio(&self) -> f64 {
        if self.h == self.l {
            // 当最高价和最低价相同时，返回 0 （或者可以根据需要返回其他值）
            0.0
        } else {
            let body_length = (self.c - self.o).abs();
            let total_range = self.h - self.l;
            round2(body_length / total_range)
        }
    }

    // 计算上引线幅度比率
    pub fn higher_wick_ratio(&self) -> f64 {
        if self.h == self.l {
            // 当最高价和最低价相同时，返回 0 （或者可以根据需要返回其他值）
            0.0
        } else {
            let max_price = self.o.max(self.c);
            let ratio = (self.h - max_price) / (self.h - self.l);
            round2(ratio)
        }
    }

    // 判断是否为十字星
    pub fn is_doji(&self, threshold: f64) -> bool {
        (self.o - self.c).abs() <= threshold && self.h != self.l
    }
}

/// 价格涨停跌停大涨、大跌、微涨、微跌标记
#[derive(Debug, Serialize, Deserialize, PartialEq, Display, TS, Clone, Copy, Eq, Hash)]
#[serde(rename_all = "UPPERCASE")]
#[ts(export)]
pub enum PriceUpDowntype {
    UPSTOP,
    DOWNSTOP,
    UPBIG,
    DOWNBIG,
    OTHER,
}
/// k线类型，系统只支持预定义的k线类型，用户自定义的k线类型不支持
#[derive(Debug, Serialize, Deserialize, PartialEq, Display, TS, Clone, Copy, Eq, Hash)]
#[serde(rename_all = "UPPERCASE")]
#[ts(export)]
pub enum Klt {
    /// 1分钟k线
    M001,
    /// 5分钟k线
    M005,
    /// 15分钟k线
    M015,
    /// 30分钟k线
    M030,
    /// 60分钟k线
    M060,
    /// 120分钟k线
    M120,
    /// 日k线
    DAY,
    /// 周k线
    WEEK,
    /// 月k线
    MONTH,
}

impl Default for Klt {
    fn default() -> Self {
        Klt::DAY
    }
}

impl FromStr for Klt {
    type Err = Error;

    fn from_str(s: &str) -> Result<Self> {
        match s {
            "M005" => Ok(Klt::M005),
            "M015" => Ok(Klt::M015),
            "M030" => Ok(Klt::M030),
            "M060" => Ok(Klt::M060),
            "M120" => Ok(Klt::M120),
            "DAY" => Ok(Klt::DAY),
            "WEEK" => Ok(Klt::WEEK),
            "MONTH" => Ok(Klt::MONTH),
            _ => Err(anyhow!(format!("Invalid Klt {s}"))),
        }
    }
}

/// Computes a list of Kline instances from a vector of Ticks for a given Klt.
/// It starts from the provided start_kline or the earliest tick available,
/// ignoring any ticks before the start_kline's klts.
///
/// # Arguments
/// * `ticks` - A vector of Tick structs.
/// * `start_kline` - An optional starting Kline to continue from.
/// * `klt` - The Kline type to compute.
///
/// # Returns
/// A vector of computed Kline instances.
pub fn compute_klines_from_ticks(
    ticks: &Vec<Tick>,
    start_kline: &Option<Kline>,
    klt: &Klt
) -> Vec<Kline> {
    let mut klines = Vec::new();
    let mut current_kline = start_kline.clone();

    let start_time = match &start_kline {
        Some(k) => k.klts.clone(),
        None => ticks.first().map_or(Utc::now(), |t| t.time),
    };

    let ticks_filtered = ticks.into_iter().filter(|t| t.time >= start_time);

    for (idx, tick) in ticks_filtered.enumerate() {
        let end_klts = kline_end_time(&tick.time, klt);
        match current_kline {
            Some(ref mut curr_kl) => {
                if end_klts == curr_kl.klts {
                    update_kline_hlcv(curr_kl, tick);
                } else {
                    trace!(
                        "(compute_klines) tick[{idx}] push kline before time= {:?} current_kline.ohlcv={:?} ",
                        tick.time.with_timezone(&Local),
                        current_kline.clone().unwrap().ohlcv()
                    );
                    klines.push(current_kline.unwrap());

                    current_kline = Some(create_new_kline(tick, &end_klts, klt));
                    trace!(
                        "(compute_klines) tick[{idx}] 1 new kline for time= {:?} current_kline.ohlcv={:?} ",
                        tick.time.with_timezone(&Local),
                        current_kline.clone().unwrap().ohlcv()
                    );
                }
            }
            None => {
                current_kline = Some(create_new_kline(tick, &end_klts, klt));
                trace!(
                    "(compute_klines) tick[{idx}] 2 new kline for time= {:?}  current_kline.ohlcv={:?} ",
                    tick.time.with_timezone(&Local),
                    current_kline.clone().unwrap().ohlcv()
                );
            }
        }
    }

    // Add the last Kline if it exists.
    if let Some(kline) = current_kline {
        println!("push 残渣kline");
        klines.push(kline);
    }

    klines
}

// Helper functions
fn kline_end_time(time: &DateTime<Utc>, klt: &Klt) -> DateTime<Utc> {
    if time.hour() < 7 {
        // beijing hour: 15， 计算09:30:00 ~ 09:34:59区间
        kline_start_time(time, klt) + kline_duration(klt)
    } else {
        // 最后一笔15:00:00 算在一起 计算14:55:00 ~ 15:00:00区间
        kline_start_time(time, klt)
    }
}

fn kline_start_time(time: &DateTime<Utc>, klt: &Klt) -> DateTime<Utc> {
    match klt {
        Klt::M001 => time.with_second(0).unwrap().with_nanosecond(0).unwrap(),
        Klt::M005 =>
            time
                .with_minute((time.minute() / 5) * 5)
                .unwrap()
                .with_second(0)
                .unwrap()
                .with_nanosecond(0)
                .unwrap(),
        Klt::M015 =>
            time
                .with_minute((time.minute() / 15) * 15)
                .unwrap()
                .with_second(0)
                .unwrap()
                .with_nanosecond(0)
                .unwrap(),
        Klt::M030 =>
            time
                .with_minute((time.minute() / 30) * 30)
                .unwrap()
                .with_second(0)
                .unwrap()
                .with_nanosecond(0)
                .unwrap(),
        Klt::M060 =>
            time.with_minute(0).unwrap().with_second(0).unwrap().with_nanosecond(0).unwrap(),
        Klt::M120 =>
            time
                .with_minute((time.minute() / 120) * 120)
                .unwrap()
                .with_second(0)
                .unwrap()
                .with_nanosecond(0)
                .unwrap(),
        Klt::DAY =>
            DateTime::from_utc(
                NaiveDate::from_ymd(time.year(), time.month(), time.day()).and_hms(0, 0, 0),
                Utc
            ),
        Klt::WEEK =>
            time
                .with_day(time.day() - (time.weekday() as u32))
                .unwrap()
                .with_hour(0)
                .unwrap()
                .with_minute(0)
                .unwrap()
                .with_second(0)
                .unwrap()
                .with_nanosecond(0)
                .unwrap(),
        Klt::MONTH =>
            DateTime::from_utc(
                NaiveDate::from_ymd(time.year(), time.month(), 1).and_hms(0, 0, 0),
                Utc
            ),
    }
}

fn create_new_kline(tick: &Tick, klts: &DateTime<Utc>, klt: &Klt) -> Kline {
    Kline {
        id: Some(Thing::from(("kline", Kline::id_from(&tick.security_id, &klt, &klts).as_str()))),
        security_id: tick.security_id.clone(),
        klt: klt.clone(),
        klts: klts.clone(),
        open: tick.price,
        high: tick.price,
        low: tick.price,
        close: tick.price,
        volume: tick.volume as u64,
        // ... other fields
        ..Default::default()
    }
}

fn update_kline_hlcv(kline: &mut Kline, tick: &Tick) {
    kline.high = kline.high.max(tick.price);
    kline.low = kline.low.min(tick.price);
    kline.close = tick.price;
    kline.volume += tick.volume as u64;
}

fn kline_duration(klt: &Klt) -> chrono::Duration {
    match klt {
        Klt::M001 => chrono::Duration::minutes(1),
        Klt::M005 => chrono::Duration::minutes(5),
        Klt::M015 => chrono::Duration::minutes(15),
        Klt::M030 => chrono::Duration::minutes(30),
        Klt::M060 => chrono::Duration::minutes(60),
        Klt::M120 => chrono::Duration::minutes(120),
        Klt::DAY => chrono::Duration::days(1),
        Klt::WEEK => chrono::Duration::days(7),
        Klt::MONTH => chrono::Duration::days(30), // Approximation, actual month duration can vary.
    }
}

/// K线数据汇总，Kline之前时间如最近5、3、1.5、1、0.5、0.25年等
///
#[derive(Debug, Serialize, Deserialize, Default, TS, Clone)]
#[ts(export)]
pub struct KlineStat {
    /// 唯一标识符，e.g. id: kline_summary:⟨SZ.STK.002667.DAY.20231204.93⟩
    #[ts(as = "Option<FudaThing>")]
    pub id: Option<Thing>,

    /// 当前Kline的, Primary Key
    pub kline_id: String,

    /// 当前Kline的
    pub klts: DateTime<Utc>,

    /// 当前Kline的
    pub security_id: String,

    /// 当前Kline所属Security的
    pub market: Market,

    /// 当前Kline所属Security的
    pub security_type: SecurityType,

    /// 当前Kline的
    pub ohlcv: Ohlcv,
    /// 放量倍数
    pub smpr: MA<f64>,
    /// 大涨次数
    pub upstop_counts: MA<u16>,

    /// 周期内交易平均
    pub avg_ohlcv: MA<Ohlcv>,
    /// 周期内最高价
    pub highest: MA<Klv>,
    /// 周期内最低价
    pub lowest: MA<Klv>,
    ///
    /// 记录更新日期 HLC
    #[ts(as = "Option<String>")]
    pub last_updated: Option<String>,
}
impl KlineStat {
    pub fn id_from(kline_id: &str) -> String {
        format!("{}", kline_id)
    }

    pub fn id_raw(&self) -> String {
        let id = self.id.clone().unwrap();
        id.id.to_raw()
    }

    /// 当前K线与指定周期均值放量比重
    pub fn smpr(&self, period: u8) -> f64 {
        if let Some(v) = self.smpr.mav(period as u16) { round2(v) } else { 0.0 }
    }

    /// 实体比重
    pub fn body_ratio(&self) -> f64 {
        self.ohlcv.body_ratio()
    }

    /// current kline price deviation from highest kline
    pub fn highest_close_dev(&self, span_day: u16) -> i32 {
        if let Some(v) = self.highest.mav(span_day) {
            (((v.ohlcv.c - self.ohlcv.c) / self.ohlcv.c) * 100.0) as i32
        } else {
            0i32
        }
    }

    /// current kline price deviation from lowest kline
    pub fn lowest_close_dev(&self, span_day: u16) -> i32 {
        if let Some(v) = self.lowest.mav(span_day) {
            (((self.ohlcv.c - v.ohlcv.c) / self.ohlcv.c) * 100.0) as i32
        } else {
            0i32
        }
    }

    /// current kline price deviation from lowest kline
    pub fn lowest_low_dev(&self, span_day: u16) -> i32 {
        if let Some(v) = self.lowest.mav(span_day) {
            // println!("self.ohlcv={:?} v.ohlcv={:?}", self.ohlcv, v.ohlcv);
            (((self.ohlcv.l - v.ohlcv.l) / self.ohlcv.l) * 100.0) as i32
        } else {
            0i32
        }
    }

    /// current kline klts deviation from highest kline
    pub fn highest_day_dev(&self, span_day: u16) -> i64 {
        if let Some(v) = self.highest.mav(span_day) {
            self.klts.signed_duration_since(v.klts).num_days()
        } else {
            0i64
        }
    }
    /// current kline klts deviation from lowest kline
    pub fn lowest_day_dev(&self, span_day: u16) -> i64 {
        if let Some(v) = self.lowest.mav(span_day) {
            self.klts.signed_duration_since(v.klts).num_days()
        } else {
            0i64
        }
    }
    /// 指定周期最低K线的下影线占该K线的比重
    pub fn lowest_wick_ratio(&self, span_day: u16) -> i32 {
        if let Some(v) = self.lowest.mav(span_day) {
            (v.ohlcv.lower_wick_ratio() * 100.0) as i32
        } else {
            0i32
        }
    }
    /// 指定周期内大涨次数
    pub fn upstop_count(&self, span_day: u16) -> u16 {
        if let Some(v) = self.upstop_counts.mav(span_day) { v } else { 0u16 }
    }
}
#[cfg(test)]
pub(crate) mod test {
    use chrono::DateTime;
    use chrono::Local;
    use chrono::Utc;
    use surrealdb::sql::Thing;

    use crate::model::kline::Kline;
    use crate::model::kline::Klt;
    use crate::model::tick::Tick;

    lazy_static::lazy_static! {
        pub static ref json_value: serde_json::Value = {
            let json_str =
                r#"{"rc":0,"rt":17,"svr":181734975,"lt":1,"full":0,"dlmkts":"","data":{"code":"600519","market":1,"name":"贵州茅台","decimal":2,"dktotal":5481,"preKPrice":1475.64,
                "klines":[

"2024-07-18 09:35,1499.50,1507.50,1512.00,1497.50,2714,408652803.00,0.97,0.41,6.10,0.02",

"2024-07-18 09:40,1507.50,1510.99,1515.00,1507.00,2432,367831677.00,0.53,0.23,3.49,0.02",

"2024-07-18 09:45,1511.00,1512.90,1514.90,1510.00,1440,217859663.00,0.32,0.13,1.91,0.01",

"2024-07-18 09:50,1512.89,1505.49,1513.39,1505.01,1033,155862268.00,0.55,-0.49,-7.41,0.01",
"2024-07-18 09:55,1505.50,1505.63,1505.63,1501.20,799,120131374.00,0.29,0.01,0.14,0.01",
"2024-07-18 10:00,1505.66,1503.83,1505.69,1498.02,992,148866098.00,0.51,-0.12,-1.80,0.01",
"2024-07-18 10:05,1503.13,1501.12,1503.13,1499.00,484,72706953.00,0.27,-0.18,-2.71,0.00",

"2024-07-18 10:10,1501.67,1501.75,1503.00,1499.78,530,79552532.00,0.21,0.04,0.63,0.00",

"2024-07-18 10:15,1500.88,1504.90,1504.99,1500.00,474,71184759.00,0.33,0.21,3.15,0.00",

"2024-07-18 10:20,1504.99,1503.80,1506.35,1503.01,421,63353790.00,0.22,-0.07,-1.10,0.00",
"2024-07-18 10:25,1503.79,1502.99,1505.68,1502.45,341,51287963.00,0.21,-0.05,-0.81,0.00",
"2024-07-18 10:30,1502.46,1504.00,1504.78,1502.06,336,50507644.00,0.18,0.07,1.01,0.00",
"2024-07-18 10:35,1504.00,1500.49,1504.00,1500.46,436,65479203.00,0.24,-0.23,-3.51,0.00",
"2024-07-18 10:40,1500.67,1501.10,1502.28,1500.01,245,36776274.00,0.15,0.04,0.61,0.00",
"2024-07-18 10:45,1500.67,1499.00,1501.09,1498.55,348,52191393.00,0.17,-0.14,-2.10,0.00",
"2024-07-18 10:50,1499.10,1499.35,1499.77,1498.73,245,36728106.00,0.07,0.02,0.35,0.00",
"2024-07-18 10:55,1499.37,1502.27,1502.27,1499.37,317,47568197.00,0.19,0.19,2.92,0.00",
"2024-07-18 11:00,1502.27,1502.80,1503.04,1500.00,451,67764194.00,0.20,0.04,0.53,0.00",
"2024-07-18 11:05,1502.80,1500.67,1503.00,1500.54,711,106804046.00,0.16,-0.14,-2.13,0.01",
"2024-07-18 11:10,1502.92,1501.01,1502.92,1500.00,454,68174601.00,0.19,0.02,0.34,0.00",
"2024-07-18 11:15,1501.01,1500.02,1501.01,1499.01,363,54450687.00,0.13,-0.07,-0.99,0.00",
"2024-07-18 11:20,1500.02,1501.40,1502.00,1500.00,329,49373890.00,0.13,0.09,1.38,0.00",
"2024-07-18 11:25,1501.40,1501.78,1502.57,1499.60,436,65438142.00,0.20,0.03,0.38,0.00",
"2024-07-18 11:30,1501.41,1502.00,1502.92,1499.88,503,75521982.00,0.20,0.01,0.22,0.00",
"2024-07-18 13:05,1500.91,1502.99,1502.99,1499.00,631,94715943.00,0.27,0.07,0.99,0.01",
"2024-07-18 13:10,1502.99,1504.45,1504.91,1501.92,674,101319045.00,0.20,0.10,1.46,0.01",
"2024-07-18 13:15,1504.45,1502.95,1504.45,1502.00,409,61487121.00,0.16,-0.10,-1.50,0.00",
"2024-07-18 13:20,1503.05,1500.37,1503.79,1498.20,468,70233738.00,0.37,-0.17,-2.58,0.00",
"2024-07-18 13:25,1500.49,1499.87,1501.54,1499.03,380,57003042.00,0.17,-0.03,-0.50,0.00",
"2024-07-18 13:30,1499.78,1499.52,1500.00,1498.50,362,54181176.00,0.10,-0.02,-0.35,0.00",
"2024-07-18 13:35,1499.86,1498.26,1500.88,1498.06,377,56530340.00,0.19,-0.08,-1.26,0.00",
"2024-07-18 13:40,1498.26,1499.98,1499.99,1498.26,328,49173038.00,0.12,0.11,1.72,0.00",
"2024-07-18 13:45,1499.94,1499.90,1500.53,1499.13,312,46800441.00,0.09,-0.01,-0.08,0.00",
"2024-07-18 13:50,1499.90,1499.94,1500.15,1498.67,353,52930038.00,0.10,0.00,0.04,0.00",
"2024-07-18 13:55,1499.93,1497.52,1499.93,1497.52,412,61737907.00,0.16,-0.16,-2.42,0.00",
"2024-07-18 14:00,1497.50,1498.13,1498.64,1496.88,421,63056598.00,0.12,0.04,0.61,0.00",
"2024-07-18 14:05,1498.13,1498.89,1498.89,1496.92,313,46933190.00,0.13,0.05,0.76,0.00",
"2024-07-18 14:10,1498.30,1495.02,1498.56,1495.00,336,50299174.00,0.24,-0.26,-3.87,0.00",
"2024-07-18 14:15,1495.05,1492.66,1495.95,1492.53,435,65001691.00,0.23,-0.16,-2.36,0.00",

"2024-07-18 14:20,1492.66,1495.29,1497.22,1492.66,514,76842188.00,0.31,0.18,2.63,0.00",

"2024-07-18 14:25,1495.29,1496.59,1499.00,1495.29,467,69927285.00,0.25,0.09,1.30,0.00",

"2024-07-18 14:30,1496.59,1496.52,1497.77,1496.00,370,55380225.00,0.12,0.00,-0.07,0.00",
"2024-07-18 14:35,1496.20,1495.34,1496.48,1495.00,497,74323559.00,0.10,-0.08,-1.18,0.00",
"2024-07-18 14:40,1495.32,1495.03,1495.32,1493.51,567,84819002.00,0.12,-0.02,-0.31,0.00",
"2024-07-18 14:45,1495.21,1495.51,1496.00,1494.83,577,86292223.00,0.08,0.03,0.48,0.00",
"2024-07-18 14:50,1495.28,1497.89,1497.89,1494.83,1035,154889975.00,0.20,0.16,2.38,0.01",
"2024-07-18 14:55,1496.75,1499.25,1499.66,1496.00,1144,171366685.00,0.24,0.09,1.36,0.01",
"2024-07-18 15:00,1497.20,1497.51,1500.00,1497.06,653,97902738.00,0.20,-0.12,-1.74,0.01"]}} "#;
            serde_json::from_str(json_str).expect("Invalid JSON")
        };
        pub static ref tick_data: Vec<&'static str> = {
            vec![
                // "09:15:00,1503.00,1,0,4",
                // "09:15:03,1485.00,21,0,4",
                // "09:15:06,1500.00,23,0,4",
                // "09:15:09,1501.40,32,0,4",
                // "09:15:18,1501.40,32,0,4",
                // "09:15:42,1501.40,32,0,4",
                // "09:16:39,1501.58,33,0,4",
                // "09:16:51,1501.58,33,0,4",
                // "09:17:06,1501.40,33,0,4",
                // "09:17:57,1501.40,34,0,4",
                // "09:18:03,1501.40,34,0,4",
                // "09:18:06,1501.40,34,0,4",
                // "09:18:48,1501.40,34,0,4",
                // "09:19:12,1501.40,34,0,4",
                // "09:20:00,1501.40,34,0,4",
                // "09:20:03,1501.05,46,0,4",
                // "09:20:06,1501.40,49,0,4",
                // "09:20:09,1501.05,49,0,4",
                // "09:20:15,1496.00,60,0,4",
                // "09:20:18,1495.01,62,0,4",
                // "09:20:27,1495.30,62,0,4",
                // "09:20:30,1495.65,62,0,4",
                // "09:21:03,1495.48,62,0,4",
                // "09:21:12,1495.57,62,0,4",
                // "09:21:15,1495.48,63,0,4",
                // "09:21:30,1495.65,64,0,4",
                // "09:21:33,1495.65,64,0,4",
                // "09:21:45,1495.65,65,0,4",
                // "09:21:48,1495.65,65,0,4",
                // "09:21:51,1495.65,66,0,4",
                // "09:22:03,1495.65,66,0,4",
                // "09:22:06,1495.65,67,0,4",
                // "09:22:09,1495.48,68,0,4",
                // "09:22:12,1495.30,70,0,4",
                // "09:22:18,1495.39,70,0,4",
                // "09:22:27,1495.48,71,0,4",
                // "09:22:30,1495.21,73,0,4",
                // "09:22:42,1495.21,73,0,4",
                // "09:22:51,1495.21,74,0,4",
                // "09:22:54,1495.30,74,0,4",
                // "09:23:00,1495.30,74,0,4",
                // "09:23:18,1497.00,81,0,4",
                // "09:23:27,1496.01,85,0,4",
                // "09:23:30,1497.50,90,0,4",
                // "09:23:36,1497.50,91,0,4",
                // "09:23:45,1497.50,91,0,4",
                // "09:23:48,1497.50,92,0,4",
                // "09:23:51,1497.50,93,0,4",
                // "09:24:00,1497.50,94,0,4",
                // "09:24:03,1497.50,95,0,4",
                // "09:24:06,1497.50,96,0,4",
                // "09:24:09,1499.50,106,0,4",
                // "09:24:12,1499.02,107,0,4",
                // "09:24:15,1499.59,107,0,4",
                // "09:24:18,1499.65,108,0,4",
                // "09:24:24,1499.62,109,0,4",
                // "09:24:27,1499.59,110,0,4",
                // "09:24:30,1499.53,114,0,4",
                // "09:24:33,1499.00,118,0,4",
                // "09:24:36,1499.00,119,0,4",
                // "09:24:39,1499.00,121,0,4",
                // "09:24:42,1499.00,121,0,4",
                // "09:24:45,1499.00,136,0,4",
                // "09:24:48,1499.00,153,0,4",
                // "09:24:51,1499.00,158,0,4",
                // "09:24:54,1499.00,165,0,4",
                // "09:24:57,1499.00,175,0,4",
                "09:25:00,1499.50,213,152,1",

                "09:30:00,1499.50,9,8,1",
                "09:30:03,1499.48,22,20,1",
                "09:30:06,1498.00,23,22,1",
                "09:30:09,1499.50,44,53,2",
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                "14:39:30,1494.55,3,3,1",
                "14:39:33,1494.56,1,1,2",
                "14:39:36,1494.55,1,1,1",
                "14:39:39,1494.56,4,4,2",
                "14:39:42,1494.56,2,2,2",
                "14:39:45,1494.57,1,1,2",
                "14:39:48,1494.60,10,8,2",
                "14:39:51,1494.57,20,19,1",
                "14:39:54,1495.03,4,4,2",
                "14:40:00,1495.21,4,3,2",
                "14:40:03,1495.12,13,10,1",
                "14:40:06,1495.30,1,1,2",
                "14:40:09,1495.30,4,4,2",
                "14:40:15,1495.28,4,4,2",
                "14:40:18,1495.24,1,1,1",
                "14:40:21,1495.23,5,4,1",
                "14:40:24,1495.12,17,17,1",
                "14:40:27,1495.24,3,2,2",
                "14:40:30,1494.83,6,5,1",
                "14:40:33,1495.00,4,4,2",
                "14:40:36,1494.83,3,3,1",
                "14:40:39,1495.00,7,6,2",
                "14:40:45,1494.97,15,12,1",
                "14:40:48,1494.85,6,5,1",
                "14:40:51,1495.00,2,2,2",
                "14:40:54,1495.26,7,6,2",
                "14:40:57,1495.12,1,1,1",
                "14:41:00,1494.98,12,9,1",
                "14:41:03,1495.08,1,1,2",
                "14:41:06,1494.98,12,11,1",
                "14:41:09,1495.23,5,5,2",
                "14:41:12,1495.15,2,2,1",
                "14:41:15,1495.22,1,1,1",
                "14:41:18,1495.23,5,5,2",
                "14:41:21,1495.22,8,7,1",
                "14:41:24,1495.23,4,4,2",
                "14:41:27,1495.23,6,5,2",
                "14:41:30,1495.22,9,8,1",
                "14:41:33,1495.22,1,1,1",
                "14:41:36,1495.23,7,4,2",
                "14:41:39,1495.22,8,8,1",
                "14:41:42,1495.23,3,3,2",
                "14:41:45,1495.24,3,3,2",
                "14:41:48,1495.26,16,10,2",
                "14:41:51,1495.35,12,10,2",
                "14:41:54,1495.48,4,3,2",
                "14:41:57,1495.38,4,2,2",
                "14:42:00,1495.38,3,3,1",
                "14:42:03,1495.58,7,7,2",
                "14:42:06,1495.60,2,2,2",
                "14:42:09,1495.50,13,7,1",
                "14:42:12,1495.56,4,4,2",
                "14:42:15,1495.59,7,6,2",
                "14:42:18,1495.60,5,3,2",
                "14:42:21,1495.59,3,3,1",
                "14:42:24,1495.60,4,3,2",
                "14:42:27,1495.59,1,1,1",
                "14:42:30,1495.60,6,6,1",
                "14:42:33,1495.60,5,3,1",
                "14:42:36,1495.78,10,9,2",
                "14:42:39,1495.77,10,10,2",
                "14:42:51,1495.77,3,3,2",
                "14:42:54,1495.78,14,10,2",
                "14:42:57,1495.70,8,6,1",
                "14:43:00,1495.78,4,4,2",
                "14:43:03,1495.78,3,3,2",
                "14:43:06,1495.79,7,5,2",
                "14:43:09,1495.79,10,7,2",
                "14:43:12,1495.88,1,1,2",
                "14:43:15,1495.92,7,5,2",
                "14:43:21,1495.93,2,2,2",
                "14:43:24,1495.98,9,8,2",
                "14:43:27,1495.98,7,7,2",
                "14:43:30,1495.98,6,4,2",
                "14:43:33,1495.93,15,13,1",
                "14:43:36,1496.00,11,10,2",
                "14:43:39,1495.80,10,5,1",
                "14:43:45,1495.84,8,8,1",
                "14:43:48,1495.84,3,3,1",
                "14:43:51,1495.80,6,5,1",
                "14:43:54,1495.78,13,9,1",
                "14:43:57,1495.76,7,5,1",
                "14:44:00,1495.96,13,12,2",
                "14:44:03,1495.76,6,5,1",
                "14:44:06,1495.61,16,7,1",
                "14:44:09,1495.55,8,5,1",
                "14:44:12,1495.61,1,1,2",
                "14:44:15,1495.61,6,5,1",
                "14:44:18,1495.61,11,8,1",
                "14:44:21,1495.43,13,6,1",
                "14:44:24,1495.37,10,7,1",
                "14:44:27,1495.37,2,2,1",
                "14:44:30,1495.37,6,4,1",
                "14:44:33,1495.22,3,3,1",
                "14:44:36,1495.70,1,1,2",
                "14:44:39,1495.77,3,2,2",
                "14:44:42,1496.00,6,6,2",
                "14:44:45,1495.37,3,3,1",
                "14:44:48,1495.37,2,2,1",
                "14:44:54,1495.76,6,5,2",
                "14:44:57,1495.51,1,1,1",
                "14:45:00,1495.28,6,6,1",
                "14:45:03,1495.71,3,3,2",
                "14:45:06,1495.71,1,1,2",
                "14:45:09,1495.74,12,11,2",
                "14:45:12,1495.16,6,5,1",
                "14:45:15,1495.01,14,10,1",
                "14:45:18,1494.86,30,25,1",
                "14:45:21,1495.75,15,13,2",
                "14:45:24,1494.83,18,14,1",
                "14:45:27,1496.08,12,8,2",
                "14:45:30,1495.30,13,10,1",
                "14:45:33,1496.38,8,8,2",
                "14:45:36,1495.30,5,4,1",
                "14:45:39,1495.89,3,3,2",
                "14:45:42,1496.13,8,8,2",
                "14:45:45,1496.03,7,7,2",
                "14:45:48,1495.95,5,4,1",
                "14:45:51,1496.00,13,5,2",
                "14:45:54,1495.94,2,2,1",
                "14:45:57,1495.48,11,6,1",
                "14:46:00,1495.80,16,14,2",
                "14:46:03,1496.00,10,9,2",
                "14:46:06,1496.38,16,13,2",
                "14:46:09,1496.48,12,10,2",
                "14:46:12,1497.00,15,14,2",
                "14:46:15,1496.50,12,10,1",
                "14:46:18,1496.92,18,14,2",
                "14:46:21,1497.00,25,14,2",
                "14:46:24,1496.67,14,10,1",
                "14:46:27,1496.99,40,12,2",
                "14:46:30,1497.00,6,4,2",
                "14:46:33,1497.00,7,7,2",
                "14:46:36,1496.84,9,8,1",
                "14:46:39,1497.01,4,3,2",
                "14:46:42,1496.93,16,13,1",
                "14:46:45,1496.92,16,12,1",
                "14:46:48,1497.00,15,14,2",
                "14:46:51,1496.92,12,3,2",
                "14:46:54,1496.90,2,2,1",
                "14:46:57,1496.90,5,5,2",
                "14:47:00,1496.90,2,2,2",
                "14:47:03,1496.79,6,4,1",
                "14:47:06,1496.84,10,9,2",
                "14:47:09,1496.87,2,1,2",
                "14:47:12,1496.91,6,6,2",
                "14:47:15,1496.91,4,4,2",
                "14:47:18,1496.92,14,9,2",
                "14:47:21,1496.92,3,3,2",
                "14:47:24,1496.90,6,6,1",
                "14:47:27,1496.91,11,8,2",
                "14:47:30,1496.91,16,10,1",
                "14:47:33,1496.79,11,11,1",
                "14:47:36,1496.93,12,11,2",
                "14:47:39,1496.91,4,3,1",
                "14:47:42,1496.91,11,10,1",
                "14:47:45,1496.91,6,5,1",
                "14:47:48,1496.91,4,4,2",
                "14:47:51,1496.91,6,6,2",
                "14:47:54,1496.91,4,4,2",
                "14:47:57,1496.91,9,8,2",
                "14:48:00,1496.79,3,3,1",
                "14:48:03,1496.17,6,6,1",
                "14:48:06,1496.21,10,10,1",
                "14:48:09,1496.10,9,6,1",
                "14:48:12,1496.19,11,10,2",
                "14:48:15,1496.10,3,3,1",
                "14:48:18,1496.19,6,5,2",
                "14:48:21,1496.16,8,6,1",
                "14:48:24,1496.71,6,5,2",
                "14:48:27,1496.71,5,5,2",
                "14:48:30,1496.71,21,18,2",
                "14:48:33,1496.41,10,7,1",
                "14:48:36,1496.82,6,6,2",
                "14:48:39,1496.92,16,14,2",
                "14:48:42,1496.42,5,5,1",
                "14:48:45,1497.00,10,6,2",
                "14:48:48,1496.82,9,9,1",
                "14:48:51,1496.94,9,9,2",
                "14:48:54,1496.94,3,3,2",
                "14:48:57,1497.00,15,13,2",
                "14:49:00,1496.99,5,5,1",
                "14:49:03,1496.94,10,9,1",
                "14:49:06,1496.94,18,14,2",
                "14:49:09,1496.94,8,6,2",
                "14:49:12,1496.94,6,6,1",
                "14:49:15,1496.42,5,5,1",
                "14:49:18,1496.42,15,14,1",
                "14:49:21,1496.94,14,13,2",
                "14:49:24,1496.66,9,9,1",
                "14:49:27,1496.99,5,5,2",
                "14:49:30,1497.00,16,14,2",
                "14:49:33,1496.94,5,5,2",
                "14:49:36,1496.94,14,11,2",
                "14:49:39,1496.94,14,9,2",
                "14:49:42,1496.55,22,16,1",
                "14:49:45,1496.56,4,3,2",
                "14:49:48,1497.00,31,21,2",
                "14:49:51,1496.37,9,9,1",
                "14:49:54,1497.62,25,14,2",
                "14:49:57,1497.89,20,11,2",
                "14:50:00,1496.75,15,10,1",
                "14:50:03,1497.00,24,17,2",
                "14:50:06,1496.80,28,25,2",
                "14:50:09,1497.90,11,9,2",
                "14:50:12,1497.32,33,27,1",
                "14:50:15,1497.50,6,4,2",
                "14:50:18,1499.66,23,17,2",
                "14:50:21,1498.00,15,8,1",
                "14:50:24,1498.00,4,4,2",
                "14:50:27,1497.51,17,10,1",
                "14:50:30,1497.35,10,8,1",
                "14:50:33,1497.51,11,9,2",
                "14:50:36,1497.50,2,2,1",
                "14:50:39,1497.51,9,9,2",
                "14:50:42,1497.09,21,16,1",
                "14:50:45,1497.50,7,7,2",
                "14:50:48,1497.49,17,13,1",
                "14:50:51,1497.51,9,9,2",
                "14:50:54,1497.74,7,7,2",
                "14:50:57,1497.75,11,10,2",
                "14:51:00,1497.50,11,9,1",
                "14:51:03,1497.26,10,10,1",
                "14:51:06,1497.50,12,10,2",
                "14:51:09,1496.37,12,11,1",
                "14:51:12,1496.19,3,3,1",
                "14:51:15,1496.01,12,10,1",
                "14:51:18,1496.00,9,9,1",
                "14:51:21,1497.50,14,10,2",
                "14:51:24,1497.00,8,6,1",
                "14:51:27,1496.75,18,9,1",
                "14:51:30,1496.00,2,2,1",
                "14:51:33,1496.64,5,5,2",
                "14:51:36,1497.00,10,9,2",
                "14:51:39,1496.83,4,4,1",
                "14:51:42,1497.00,8,5,2",
                "14:51:45,1496.95,3,3,1",
                "14:51:48,1497.00,9,9,2",
                "14:51:51,1497.00,9,7,2",
                "14:51:54,1497.01,6,5,2",
                "14:51:57,1497.03,13,11,2",
                "14:52:00,1497.95,6,5,2",
                "14:52:03,1497.00,22,14,1",
                "14:52:06,1497.99,14,13,2",
                "14:52:09,1497.80,6,5,1",
                "14:52:12,1497.75,8,5,1",
                "14:52:15,1497.49,6,5,1",
                "14:52:18,1498.00,9,6,2",
                "14:52:21,1498.37,14,12,2",
                "14:52:24,1497.20,11,11,1",
                "14:52:27,1498.64,12,9,2",
                "14:52:30,1497.02,19,19,1",
                "14:52:33,1497.01,13,12,1",
                "14:52:36,1497.99,10,10,1",
                "14:52:39,1498.64,10,9,2",
                "14:52:42,1498.64,12,11,2",
                "14:52:45,1498.49,12,8,1",
                "14:52:48,1497.00,9,8,1",
                "14:52:51,1498.99,8,9,2",
                "14:52:54,1496.88,13,11,1",
                "14:52:57,1497.00,14,12,1",
                "14:53:00,1498.75,2,2,2",
                "14:53:03,1497.04,11,11,1",
                "14:53:06,1497.04,26,23,1",
                "14:53:09,1498.99,10,10,2",
                "14:53:12,1498.99,13,10,2",
                "14:53:15,1498.05,12,10,1",
                "14:53:18,1498.99,14,12,2",
                "14:53:21,1498.05,9,9,1",
                "14:53:24,1498.99,4,4,2",
                "14:53:27,1498.64,15,14,1",
                "14:53:30,1498.64,11,11,2",
                "14:53:33,1498.64,4,4,2",
                "14:53:36,1498.64,16,14,2",
                "14:53:39,1498.64,10,7,2",
                "14:53:42,1497.41,12,8,1",
                "14:53:45,1498.64,15,10,2",
                "14:53:48,1498.64,14,11,2",
                "14:53:51,1498.30,6,5,1",
                "14:53:54,1498.42,7,6,2",
                "14:53:57,1497.42,18,15,1",
                "14:54:00,1498.63,41,23,2",
                "14:54:03,1498.63,11,10,2",
                "14:54:06,1498.63,4,4,2",
                "14:54:09,1498.54,6,6,1",
                "14:54:12,1499.00,4,4,2",
                "14:54:15,1499.30,6,5,2",
                "14:54:18,1497.68,9,9,1",
                "14:54:21,1497.68,12,11,1",
                "14:54:24,1499.30,6,6,2",
                "14:54:27,1499.30,9,9,2",
                "14:54:30,1499.30,5,5,2",
                "14:54:33,1499.30,21,11,2",
                "14:54:36,1499.00,23,20,1",
                "14:54:39,1499.00,8,8,2",
                "14:54:42,1497.33,14,13,1",
                "14:54:45,1498.31,5,5,2",
                "14:54:48,1497.77,11,11,1",
                "14:54:51,1499.35,18,17,2",
                "14:54:54,1499.36,5,6,2",
                "14:54:57,1499.25,11,9,1",

                "14:55:00,1497.20,14,13,1",
                "14:55:03,1497.76,14,15,2",
                "14:55:06,1497.76,26,16,1",
                "14:55:09,1497.79,11,11,2",
                "14:55:12,1499.36,9,10,2",
                "14:55:15,1499.35,2,2,2",
                "14:55:18,1497.80,8,5,1",
                "14:55:21,1497.79,6,6,1",
                "14:55:24,1499.26,6,6,2",
                "14:55:27,1499.26,8,8,2",
                "14:55:30,1499.00,2,2,1",
                "14:55:33,1497.79,16,14,1",
                "14:55:36,1499.55,36,26,2",
                "14:55:39,1497.80,22,18,1",
                "14:55:42,1499.00,4,4,2",
                "14:55:45,1499.29,7,6,2",
                "14:55:48,1500.00,25,20,2",
                "14:55:51,1499.00,4,4,1",
                "14:55:54,1498.00,1,1,1",
                "14:55:57,1499.97,1,1,2",
                "14:56:00,1499.98,9,9,2",
                "14:56:03,1499.26,26,24,1",
                "14:56:06,1497.89,6,6,1",
                "14:56:09,1499.00,3,3,2",
                "14:56:12,1499.26,12,7,2",
                "14:56:15,1499.00,8,7,1",
                "14:56:18,1497.89,8,8,1",
                "14:56:21,1498.00,4,4,2",
                "14:56:24,1498.00,9,9,1",
                "14:56:27,1498.95,6,6,2",
                "14:56:30,1497.76,9,12,1",
                "14:56:33,1498.24,7,6,2",
                "14:56:36,1497.76,5,6,1",
                "14:56:39,1497.73,10,11,2",
                "14:56:42,1497.50,4,4,1",
                "14:56:45,1497.73,12,5,2",
                "14:56:48,1498.00,11,5,2",
                "14:56:51,1498.00,8,8,2",
                "14:56:54,1497.49,6,6,1",
                "14:56:57,1497.16,2,2,1",
                "14:57:00,1497.06,7,7,1",
                "15:00:00,1497.51,259,184,1"
            ]
        };
    }

    #[tokio::test]
    async fn test_id_from() {
        for klt in &[
            Klt::M001,
            Klt::M005,
            Klt::M015,
            Klt::M030,
            Klt::M060,
            Klt::M120,
            Klt::DAY,
            Klt::WEEK,
            Klt::MONTH,
        ] {
            let id = Kline::id_from("SH.KZZ.symbol", klt, &Utc::now());
            println!("id: {:?} ", id);
        }
    }

    #[tokio::test]
    async fn test_calculate_new_klts() {
        for dt in ["2024-07-18T05:06:39Z", "2024-07-18T05:09:39Z", "2024-07-18T05:13:39Z"] {
            let time_: DateTime<Utc> = dateparser::parse(dt).unwrap_or_default().into();

            let rs = super::kline_start_time(&time_, &Klt::M005);
            println!("rs: {:?}", rs);
        }
    }

    #[tokio::test]
    async fn test_compute_kline_from_ticks() {
        let ticks: Vec<Tick> = tick_data
            .iter()
            .map(|&data| {
                let parts: Vec<&str> = data.split(',').collect();
                let time_: DateTime<Local> = dateparser::parse(parts[0]).unwrap_or_default().into();
                Tick {
                    id: Some(
                        Thing::from(("tick", Tick::id_from("SH.STK.600519", &time_).as_str()))
                    ),
                    security_id: "SH.STK.600519".to_string(),
                    time: time_.into(),
                    price: parts[1].parse().unwrap(),
                    volume: parts[2].parse().unwrap(),
                    trade_count: parts[3].parse().unwrap(),
                    s1b2j4: parts[4].parse().unwrap(),
                    ..Default::default()
                }
            })
            .collect();

        let klts = [
            Klt::M005,
            // Klt::M015, Klt::M030, Klt::M060, Klt::DAY, Klt::WEEK, Klt::MONTH
        ];

        for klt in klts {
            println!("\n\n\n klt={}", klt);
            let klines = super::compute_klines_from_ticks(&ticks, &None, &klt);
            for (idx, kline) in klines.iter().enumerate() {
                if idx < 10 || idx > klines.len() - 10 {
                    println!(
                        "\ncompute_klines({})[{idx}]{:?} ohlcv= {:?} ",
                        klt,
                        kline.klts.with_timezone(&Local),
                        kline.ohlcv()
                    );
                    // "2024-07-18 09:35, o: 1499.50, c: 1507.50, h: 1512.00, l: 1497.50, v: 2714, 408652803.00,0.97,0.41,6.10,0.02",
                    // 2024-07-19 T09:35{ o: 1499.50, c: 1507.50, h: 1511.89, l: 1498.00, v: 2504 }

                    // "2024-07-18 09:40, o: 1507.50, c: 1510.99, h: 1515.00, l: 1507.00, v: 2432, 367831677.00,0.53,0.23,3.49,0.02",
                    //  2024-07-19T09:40{ o: 1507.50, c: 1510.99, h: 1515.00, l: 1507.00, v: 2431 }

                    //  2024-07-19T14:55{ o: 1496.75, c: 1499.25, h: 1499.66, l: 1496.0,  v: 1144 }
                    // "2024-07-18 14:55, o: 1496.75, c: 1499.25, h: 1499.66, l: 1496.00, v: 1144, 171366685.00,0.24,0.09,1.36,0.01",

                    // 2024-07-19 T15:00{ o: 1497.20, c: 1497.51, h: 1500.00, l: 1497.06, v: 653 }
                    // "2024-07-18 15:00, o: 1497.20, c: 1497.51, h: 1500.00, l: 1497.06, v: 653,97902738.00,0.20,-0.12,-1.74,0.01"]}} "#;
                } else {
                    print!(".");
                }
            }
        }
    }
}
